collaborators

5 papers

cs.SD2026

Musical Score Understanding Benchmark: Evaluating Large Language Models' Comprehension of Complete Musical Scores

Congren Dai, Yue Yang, Krinos Li +12

Understanding complete musical scores entails integrated reasoning over pitch, rhythm, harmony, and large-scale structure, yet the ability of Large Language Models and Vision--Lang…

cs.AI2026

Seeing Through Experts Eyes A Foundational Vision Language Model Trained on Radiologists Gaze and Reasoning

Kinhei Lee, Peiyuan Jing, Zhenxuan Zhang +5

Large scale vision language models have shown promise in automating chest Xray interpretation, yet their clinical utility remains limited by a gap between model outputs and radiolo…

cs.CV2026

Unleashing Video Language Models for Fine-grained HRCT Report Generation

Yingying Fang, Huichi Zhou, KinHei Lee +4

Generating precise diagnostic reports from High-Resolution Computed Tomography (HRCT) is critical for clinical workflow, yet it remains a formidable challenge due to the high patho…

cs.AI2026

Reason Like a Radiologist: Chain-of-Thought and Reinforcement Learning for Verifiable Report Generation

Peiyuan Jing, Kinhei Lee, Zhenxuan Zhang +7

Radiology report generation is critical for efficiency but current models lack the structured reasoning of experts, hindering clinical trust and explainability by failing to link v…

cs.CL2025

GEMA-Score: Granular Explainable Multi-Agent Scoring Framework for Radiology Report Evaluation

Zhenxuan Zhang, Kinhei Lee, Peiyuan Jing +8

Automatic medical report generation has the potential to support clinical diagnosis, reduce the workload of radiologists, and demonstrate potential for enhancing diagnostic consist…